Rodrigo Silva

1.4k total citations
45 papers, 944 citations indexed

About

Rodrigo Silva is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Rodrigo Silva has authored 45 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Rodrigo Silva's work include Advanced Multi-Objective Optimization Algorithms (18 papers), Metaheuristic Optimization Algorithms Research (14 papers) and Electric Motor Design and Analysis (11 papers). Rodrigo Silva is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (18 papers), Metaheuristic Optimization Algorithms Research (14 papers) and Electric Motor Design and Analysis (11 papers). Rodrigo Silva collaborates with scholars based in Brazil, Canada and Portugal. Rodrigo Silva's co-authors include Frederico Gadelha Guimarães, David A. Lowther, Marcos Antônio Alves, Petrônio Cândido de Lima e Silva, Hélder Seixas Lima, Paulo Vitor do Carmo Batista, Mohammad Hossain Mohammadi, Eduardo Luz, Pedro Silva and Gladston Moreira and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Neurocomputing.

In The Last Decade

Rodrigo Silva

39 papers receiving 919 citations

Peers

Rodrigo Silva
Comparison fields: 5 of 105
  • Artificial Intelligence 296
  • Radiology, Nuclear Medicine and Imaging 242
  • Electrical and Electronic Engineering 209
  • Modeling and Simulation 203
  • Control and Systems Engineering 136
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Citations per field, relative to Rodrigo Silva
Rodrigo Silva · 1×
Citations per year, relative to Rodrigo Silva
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Countries citing papers authored by Rodrigo Silva

Since Specialization
Citations

This map shows the geographic impact of Rodrigo Silva's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rodrigo Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodrigo Silva more than expected).

Fields of papers citing papers by Rodrigo Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rodrigo Silva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rodrigo Silva. The network helps show where Rodrigo Silva may publish in the future.

Co-authorship network of co-authors of Rodrigo Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Silva. A scholar is included among the top collaborators of Rodrigo Silva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rodrigo Silva. Rodrigo Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 0
5 0
6 9
7 0
8 0
9 70
10 26
11
Towards an Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images
16
12 270
13 171
14 10
15 10
16 3
17 19
18 29
19 4
20 21

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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